iOS Software Engineer - AI Neobank App (US)

BjakMadison, MS
Remote

About The Position

BJAK is looking for iOS engineers to build the native iOS experience for BJAK's AI Neobank app. This role is for someone who cares about clean user flows, fast performance, product quality, and shipping reliable mobile features used by real customers. BJAK started in 2019 with the mission to enable insurance to be accessible online by millions in the region, and today it is the leading insurance platform in Southeast Asia. BJAK is expanding to help people with spending, saving, investing, exchanging, travelling, and more, with the mission to help people get more from their money every day. They have teams working around the world, with over 20 nationalities from their offices and remotely, who truly enjoy their work. BJAK is looking for talented and driven people who work for their passion, love building great next-generation products, and care about redefining how everyone can get the best financial applications.

Requirements

  • 3+ years of iOS development experience using Swift.
  • Strong iOS fundamentals and experience shipping production apps.
  • Good knowledge of SwiftUI, UIKit, async/await and iOS architecture patterns.
  • Strong sense of mobile UX, usability, edge cases and user flows.
  • Experience integrating REST APIs and debugging production issues.
  • Fast execution, high ownership and strong attention to product quality.
  • Strong English communication is required.

Nice To Haves

  • App links, GitHub, screenshots or examples of shipped work are a strong advantage.
  • TensorFlow Lite (on-device inference)

Responsibilities

  • Build and ship iOS features using Swift.
  • Create clean mobile flows for insurance, payments, claims, renewals and financial services.
  • Work with product and design to simplify complex user journeys.
  • Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
  • Improve app performance, crash rate, loading states, responsiveness, memory usage and battery efficiency.
  • Use analytics, user behaviour and production issues to improve the product.
  • Build AI-assisted mobile experiences only where they genuinely improve the user journey.
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